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951b324
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d139945
Update app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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# Load the weather question answering model from Hugging Face
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model = pipeline("question-answering", model="mrm8488/t5-base-finetuned-weather-questions")
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def get_weather(question):
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# Use the weather question answering model to get the answer
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answer = model({
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"question": question,
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"context": "The weather today is sunny with a temperature of 25 degrees Celsius."
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})
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return answer["answer"]
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# Create a Gradio interface for the weather app
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def app():
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weather_question = gr.inputs.Textbox(lines=2, label="Ask a weather-related question")
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result = gr.outputs.Textbox(label="Answer")
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gr.Interface(fn=get_weather, inputs=weather_question, outputs=result).launch()
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# Run the weather app
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app()
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